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      An integrated framework of security tool selection using fuzzy regression and physical programming

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      https://www.riss.kr/link?id=A101698881

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      다국어 초록 (Multilingual Abstract)

      Faced with an increase of malicious threats from the Internet as well as local area networks, many companies are considering deploying a security system. To help a decision maker select a suitable security tool, this paper proposed a three-step integrated framework using linear fuzzy regression (LFR) and physical programming (PP). First, based on the experts' estimations on security criteria, analytic hierarchy process (AHP) and quality function deployment (QFD) are employed to specify an intermediate score for each criterion and the relationship among these criteria. Next, evaluation value of each criterion is computed by using LFR. Finally, a goal programming (GP) method is customized to obtain the most appropriate security tool for an organization, considering a tradeoff among the multi-objectives associated with quality, credibility and costs, utilizing the relative weights calculated by the physical programming weights (PPW) algorithm. A numerical example provided illustrates the advantages and contributions of this approach. Proposed approach is anticipated to help a decision maker select a suitable security tool by taking advantage of experts' experience, with noises eliminated, as well as the accuracy of mathematical optimization methods.
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      Faced with an increase of malicious threats from the Internet as well as local area networks, many companies are considering deploying a security system. To help a decision maker select a suitable security tool, this paper proposed a three-step integr...

      Faced with an increase of malicious threats from the Internet as well as local area networks, many companies are considering deploying a security system. To help a decision maker select a suitable security tool, this paper proposed a three-step integrated framework using linear fuzzy regression (LFR) and physical programming (PP). First, based on the experts' estimations on security criteria, analytic hierarchy process (AHP) and quality function deployment (QFD) are employed to specify an intermediate score for each criterion and the relationship among these criteria. Next, evaluation value of each criterion is computed by using LFR. Finally, a goal programming (GP) method is customized to obtain the most appropriate security tool for an organization, considering a tradeoff among the multi-objectives associated with quality, credibility and costs, utilizing the relative weights calculated by the physical programming weights (PPW) algorithm. A numerical example provided illustrates the advantages and contributions of this approach. Proposed approach is anticipated to help a decision maker select a suitable security tool by taking advantage of experts' experience, with noises eliminated, as well as the accuracy of mathematical optimization methods.

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      참고문헌 (Reference)

      1 M.J. Schniederjans, "Using the Analytic Hierarchy Process and Goal Programming for Information System Project Selection" 20 (20): 333-342, 1991

      2 T. Tsiakis, "The Economic Approach of Information Security" 24 (24): 105-108, 2005

      3 R.Hefner,, "System Security Engineering Capability Maturity Model" 1997

      4 M. Patel, "System Design through Subsystem Selection Using Physical Programming" 41 (41): 1089-1096, 1089

      5 L. Chan, "Quality Function Deployment: a Literature Review" 143 (143): 463-497, 2002

      6 S. Chakraborty, "QFD-Based Expert System for Non-Traditional Machining Processes Selection" 32 (32): 1208-1217, 2007

      7 H. Tanaka, "Possibilistic Linear Systems and Their Application to the Linear Regression Model" 27 (27): 275-289, 1988

      8 M. Choi, "Optimizing Quality Levels and Development Costs for Developing an Integrated Information Security System" Springer 4867 : 359-370, 2008

      9 P. Kongsuwan, "Managing Quality Level for Developing Information Security System Adopting QFD," 19-24, 2008

      10 H. Tanaka, "Linear Regression Analysis with Fuzzy Model" 12 (12): 903-907, 1982

      1 M.J. Schniederjans, "Using the Analytic Hierarchy Process and Goal Programming for Information System Project Selection" 20 (20): 333-342, 1991

      2 T. Tsiakis, "The Economic Approach of Information Security" 24 (24): 105-108, 2005

      3 R.Hefner,, "System Security Engineering Capability Maturity Model" 1997

      4 M. Patel, "System Design through Subsystem Selection Using Physical Programming" 41 (41): 1089-1096, 1089

      5 L. Chan, "Quality Function Deployment: a Literature Review" 143 (143): 463-497, 2002

      6 S. Chakraborty, "QFD-Based Expert System for Non-Traditional Machining Processes Selection" 32 (32): 1208-1217, 2007

      7 H. Tanaka, "Possibilistic Linear Systems and Their Application to the Linear Regression Model" 27 (27): 275-289, 1988

      8 M. Choi, "Optimizing Quality Levels and Development Costs for Developing an Integrated Information Security System" Springer 4867 : 359-370, 2008

      9 P. Kongsuwan, "Managing Quality Level for Developing Information Security System Adopting QFD," 19-24, 2008

      10 H. Tanaka, "Linear Regression Analysis with Fuzzy Model" 12 (12): 903-907, 1982

      11 A. Messac, "Linear Physical Programming: a New Approach to Multiple Objective Optimization" 8 (8): 39-59, 1996

      12 M.J.Schniederjans, "Linear Goal Programming" Petrocelli Books 1984

      13 C.S. Leem, "Introduction to an Integrated Methodology for Development and Implementation of Enterprise Information Systems" 60 (60): 349-361, 2002

      14 EC advisory group SOG-IS,, "Information Technology Security Evaluation Criteria (ITSEC)"

      15 M. Monheit, "Information Systems Architecture: a Consulting Methodology" 568-572, 1990

      16 M. Eloff, "Information Security Management, Hierarchical Framework for Various Approaches" 19 (19): 243-256, 2000

      17 "ISO/IEC 9126-1:2001"

      18 "ISO/IEC 15408-1:2005"

      19 W.T.Polk, "Guide to the Selection of Anti-Virus Tools & Techniques" ,Diane Books PublishingCompany 1992

      20 W. Chen, "Exploration of the Effectiveness of Physical Programming in Robust Design" 122 (122): 155-163, 2000

      21 E.E. Anderson, "Enterprise Information Security Strategies" 27 (27): 22-29, 2008

      22 E. Kongar, "Disassembly-to-Order System Using Linear Physical Programming" 312-317, 2002

      23 Department of Defense Standard, "Department of Defense Trusted Computer System Evaluation Criteria"

      24 E. Melachrinoudis, "Consolidating a Warehouse Network: a Physical Programming Approach" 97 (97): 1-17, 2005

      25 H.V.Nguyen, "An integrated approach to the optimal selection of security tools using analytic hierarchy process and goal programming" 2009

      26 E. Eetugrul Karsak, "An Integrated Decision Making Approach for ERP System Selection," 36 (36): 660-667, 2009

      27 R. Firth, "An Approach for Selecting and Specifying Tools for Information Survivability" Carnegie Mellon University 1998

      28 S. Kim, "A Study on Decision Consolidation Methods Using Analytic Models for Security Systems" 26 (26): 145-153, 2007

      29 T.L. Saaty, "A Scaling Method for Priorities in Hierarchical Structures" 15 (15): 234-281, 1977

      30 H.Y. Lin, "A Fuzzy-Based Decision-Making Procedure for Data Warehouse System Selection" 32 (32): 939-953, 2007

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      학술지 이력
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      학술지 인용정보

      학술지 인용정보
      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 0.44 0.44 0.44
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.43 0.38 0.58 0.15
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